The Responsive Blog.

Tune in for an in-depth conversation with Casey Crites, Founding Engineer at Metronome about how Metronome built and scaled their Kafka Streams based ingestion pipeline to deliver advanced real time billing features to companies like OpenAI, Nvidia, and more.

Why we think SlateDB is the right foundation for a state storage service for Kafka Streams.

Why using embedded RocksDB with Kafka Streams may not be the right fit for you.

Introducing the Responsive Metrics API, which allows exporting metrics into your observability engine of choice.

Introducing the Async Processor for Kafka Streams, which allows developers to make remote calls from Kafka Streams applications without sacrificing throughput.

Learn how Metronome scaled their Kafka Streams ingestion pipeline with Responsive to deliver advanced real time billing features to companies like OpenAI, Nvidia, and more.

Why should you use a stream processing framework like Kafka Streams instead of building on top of Kafka Producer/Consumers.

A practical guide for developers building stateful Kafka Streams applications with exactly-once semantics enabled. It covers how exactly-once semantics work, how to tune your transactions, and how to solve common issues with the exactly-once system.

All the ways to find us at Kafka Summit London 2024.

Kafka Streams comes bundled with hundreds of metrics - this post will cover the “highest ROI” metrics to include on your dashboard.

In this post, we will dig deeper into what differentiates Kafka Streams and drives its popularity. Spoiler alert: we think its popularity stems from being akin to a powerful application framework.

A sampling of some of the production use cases of Kakfa Streams from Walmart, AirBnb, Morgan Stanley, and Michelin.

A history lesson on how the rebalance protocol in Apache Kafka has evolved over the years, and why. Distributed systems enthusiasts will love this.

For everyone who is in too deep and wants to peel back the curtains on one of the most elegant yet maddening aspects of Apache Kafka: the consumer group rebalancing protocol.

How Responsive Control Plane automatically manages Kafka Streams so you don't have to.

Capacity planning and operating your Kafka Streams application can be quite challenging. Hopefully this guide can help you get started and point you in the right direction.

A definitive guide to managing Kafka Streams state that covers some history, architecture concepts and many tips to prevent panic in the face of long restoration and rebalances.

Introducing our new company, Responsive